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Understanding the Influence of Parameter Value Uncertainty on Climate Model Output: Developing an Interactive Web Dashboard

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DataONE2024-05-30 更新2024-06-08 收录
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Scientists at the National Center for Atmospheric Research have recently carried out several experiments to better understand the uncertainties associated with future climate projections. In particular, the NCAR Climate and Global Dynamics Lab (CGDL) working group has completed a large Parameter Perturbation Experiment (PPE) utilizing the Community Land Model (CLM), testing the effects of 32 parameters over thousands of simulations over a range of 250 years. The CLM model experiment is focused on understanding uncertainty around biogeophysical parameters that influence the balance of chemical cycling and sequestration variables. The current website for displaying model results is not intuitive or informative to the broader scientific audience or the general public. The goal of this project is to develop an improved data visualization dashboard for communicating the results of the CLM PPE. The interactive dashboard would provide an interface where new or experienced users can query the e..., Data Source: University of California, Santa Barbara – Climate and Global Dynamics Lab, National Center for Atmospheric Research: Parameter Perturbation Experiment (CGD NCAR PPE-5). https://webext.cgd.ucar.edu/I2000/PPEn11_OAAT/ (Only public version of the data currently accessible. Data leveraged in this project is currently stored on the NCAR server and is not publicly available), https://www.cgd.ucar.edu/events/seminar/2023/katie-dagon-and-daniel-kennedy-132940 (Learn more about this complex data via this amazing presentation by Katie Dragon & Daniel Kennedy ^) The Parameter Perturbation Experiment data leveraged by our project was generated utilizing the Community Land Model v5 (CLM5) predictions. https://www.earthsystemgrid.org/dataset/ucar.cgd.ccsm4.CLM_LAND_ONLY.html Data Processing: We were working inside of NCAR’s CASPER cluster HPC server, this enabled us direct access to the raw data files. We created a script to read in 500 LHC PPE simulations as a data set with input..., , # Understanding the Influence of Parameter Value Uncertainty on Climate Model Output: Developing an Interactive Dashboard This README.md file was generated on 2024-05-22 by SOFIA INGERSOLL [https://doi.org/10.5061/dryad.vq83bk422](https://doi.org/10.5061/dryad.vq83bk422) ### GENERAL INFORMATION 1\. Title of the Project: Understanding the Influence of Parameter Value Uncertainty on Climate Model Output: Developing an Interactive Dashboard 3\. Author Information: Sofia Ingersoll A. Principal Investigator Contact Information Name: Sofia Ingersoll Institution: Bren School of Environmental Science & Management Email: [singersoll@bren.edu](mailto:singersoll@bren.edu) B. Associate or Co-investigator Contact Information Name: Heather Childers Institution: Bren School of Environmental Science & Management Email: [hmchilders@bren.edu](mailto:hmchilders@bren.edu) C. Alternate Contact Information Name: Sofia Ingersoll Institution: Bren School of Environmental Science & M...
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2025-08-01
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